Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping
Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping
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DOI：
10.1007/s10708-019-10035-z
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发表时间：
2020-12-01
期刊：
影响因子：
2.7
通讯作者：
Dowthwaite, L.
中科院分区：
文献类型：
--
作者：
Gardner, Z.;Mooney, P.;Dowthwaite, L.
本文介绍了一个探索性的定量分析结果的性别贡献的在线地图项目OpenStreetMap（OSM），其中以前的研究已经确定了强烈的男性参与偏见。基于这些理由，志愿地理信息（VGI）的代表理论认为，这种众包数据未能体现更广泛社区的地理空间利益。然而，所观察到的偏见的影响，仍然明显缺席的话语的VGI和性别，进行的影响不大。这项研究通过分析按性别分列的职业安全管理的贡献来解决这一空白，从而确定了男子和妇女在绘图做法上的差异。一项在线调查独特地捕获了293名OSM用户的OSM ID和申报的性别。随后分析了与用户编辑和标记行为有关的统计数据，这些数据可通过“你如何为OSM做出贡献”维基页面公开访问。结果显示，在OSM的整体活动以及编辑和标记行动的体积仍然显着占主导地位的男性。它们还表明，男性和女性在修改和创建数据的偏好以及他们所贡献的标记类别方面存在微妙但有影响力的差异。性别和信息和通信技术的话语，性别关系在网上VGI环境和竞争的动机因素都牵连在这些意见。以及更新估计的OSM的性别参与偏见，本文旨在告知和刺激随后的话语性别和代表性的一个新的理由，扩大参与VGI。
This paper presents the results of an exploratory quantitative analysis of gendered contributions to the online mapping project OpenStreetMap (OSM), in which previous research has identified a strong male participation bias. On these grounds, theories of representation in volunteered geographic information (VGI) have argued that this kind of crowdsourced data fails to embody the geospatial interests of the wider community. The observed effects of the bias however, remain conspicuously absent from discourses of VGI and gender, which proceed with little sense of impact. This study addresses this void by analysing OSM contributions by gender and thus identifies differences in men's and women's mapping practices. An online survey uniquely captured the OSM IDs as well as the declared gender of 293 OSM users. Statistics relating to users' editing and tagging behaviours openly accessible via the 'how did you contribute to OSM' wiki page were subsequently analysed. The results reveal that volumes of overall activity as well editing and tagging actions in OSM remain significantly dominated by men. They also indicate subtle but impactful differences in men's and women's preferences for modifying and creating data, as well as the tagging categories to which they contribute. Discourses of gender and ICT, gender relations in online VGI environments and competing motivational factors are implicated in these observations. As well as updating estimates of the gender participation bias in OSM, this paper aims to inform and stimulate subsequent discourses of gender and representation towards a new rationale for widening participation in VGI.